I find truth hiding inside massive amounts of data. Extracting needles from haystacks. Specialist in implementing AI to automate tasks across organizations. https://stoneturn.com/who-we-are/our-people/kashif-sheikh/

--Product Manager and Software Engineer focusing on market analysis, with an emphasis on natural language processing (NLP) and machine learning.--Involved in full-stack data analytics (everything from design and data engineering to building ML models and storytelling)--Technologies/methodologies include: NLP (word embedding, sentiment and topic modeling), TensorFlow and Keras, and network graphs in order to determine emergent consumer behaviors, market segmentation, and the evolution of conversations in the news and social media.--Applications include investment analysis, marketing, and tracking social movements.Example Projects:-3rd Party Presidential Campaign: Performed voter analytics on text/phone campaign outreach data and demographic data in order to create key voter model to target those most likely to support candidate on election day. Built data pipeline to ingest and process campaign results into model automatically and in real time.•Macro / financial analytics: Reverse-engineered consumer confidence survey to track competitors’ monthly confidence surveys, but on a more practical daily basis, with a regression model that utilized prevailing macroeconomic data as well as proprietary survey results.•Social media analytics: Designed & engineered an NLP-based “listening model” prototype to monitor user-defined activism-related narratives on Twitter. Employed topic & sentiment models and network graphs to identify major subtopics within the narrative, virality, influencers, and echo chambers.•Public opinion analytics / segmentation model QA: Created a model to divide markets into more meaningful “tribal” affiliations instead of traditional demographics. Enhanced data-gathering methodology and employed various machine learning algorithms to create an adaptive market segmentation model that identified emergent tribes, with broad applicability across industries.

--I help connect the dots for our entire organization, working at the intersection of business, product, and engineering, in order to intelligently guide company strategy with more data driven decision making . I do this by implementing Business Intelligence-centric software and processes across teams, enabling transparency, predictive analytics, automation, and data integrity.--core tech / methodologies include: Python, MySQL, Salesforce, Domo, Quickbooks, warehousing and ETL, machine learning

Advised clients on investments in enterprise and consumer tech (including AI, VR, cloud services) as well as financial services (fintech, banking, capital markets), with contrarian opinions / analyses widely featured in the Financial Times, Wall Street Journal, CNBC, USA Today, CNN Money, Associated Press, Bloomberg, BNN, MarketWatch, Inc., Zero Hedge, and more.